Accelerating CPU-based Distributed DNN Training on Modern HPC Clusters using BlueField-2 DPUs. - Arpan Jain; Nawras Alnaasan; Aamir Shafi; Hari Subramoni; Dhabaleswar K. Panda 001 (HOTI, 2021)

AccDP: Accelerated Data-Parallel Distributed DNN Training for Modern GPU-Based HPC Clusters. - Nawras Alnaasan; Arpan Jain; Aamir Shafi; Hari Subramoni; Dhabaleswar K. Panda 001 (HIPC, 2022)

OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems. - Nawras Alnaasan; Arpan Jain; Aamir Shafi; Hari Subramoni; Dhabaleswar K. Panda 001 (IPDPS Workshops, 2022)

Optimizing Distributed DNN Training Using CPUs and BlueField-2 DPUs. - Arpan Jain; Nawras Alnaasan; Aamir Shafi; Hari Subramoni; Dhabaleswar K. Panda 001 (IEEE Micro, 2022)

HARVEST: High-Performance Artificial Vision Framework for Expert Labeling using Semi-Supervised Training. - Nawras Alnaasan; Matthew Lieber; Aamir Shafi; Hari Subramoni; Scott A. Shearer; Dhabaleswar K. Panda 001 (IEEE Big Data, 2023)

Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel Inference. - Jinghan Yao; Nawras Alnaasan; Tian Chen; Aamir Shafi; Hari Subramoni; Dhabaleswar K. D. K. Panda (HiPC, 2023)

Designing In-network Computing Aware Reduction Collectives in MPI. - Bharath Ramesh 005; Goutham Kalikrishna Reddy Kuncham; Kaushik Kandadi Suresh; Rahul Vaidya; Nawras Alnaasan; Mustafa Abduljabbar; Aamir Shafi; Hari Subramoni; Dhabaleswar K. D. K. Panda (HOTI, 2023)

Performance Characterization of Using Quantization for DNN Inference on Edge Devices. - Hyunho Ahn; Tian Chen; Nawras Alnaasan; Aamir Shafi; Mustafa Abduljabbar; Hari Subramoni; Dhabaleswar K. Panda 001 (ICFEC, 2023)

Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version. - Hyunho Ahn; Tian Chen; Nawras Alnaasan; Aamir Shafi; Mustafa Abduljabbar; Hari Subramoni; Dhabaleswar K. Panda 001 (CoRR, 2023)

Accelerating Large Language Model Training with Hybrid GPU-based Compression. - Lang Xu; Quentin Anthony; Qinghua Zhou; Nawras Alnaasan; Radha Gulhane; Aamir Shafi; Hari Subramoni; Dhabaleswar K. D. K. Panda (CCGrid, 2024)

HyperSack: Distributed Hyperparameter Optimization for Deep Learning using Resource-Aware Scheduling on Heterogeneous GPU Systems. - Nawras Alnaasan; Bharath Ramesh 005; Jinghan Yao; Aamir Shafi; Hari Subramoni; Dhabaleswar K. Panda 001 (HiPC, 2024)

Characterizing Communication in Distributed Parameter-Efficient Fine-Tuning for Large Language Models. - Nawras Alnaasan; Horng-Ruey Huang; Aamir Shafi; Hari Subramoni; Dhabaleswar K. Panda 001 (HOTI, 2024)

HINT: Designing Cache-Efficient MPI_Alltoall using Hybrid Memory Copy Ordering and Non-Temporal Instructions. - Bharath Ramesh 005; Nick Contini; Nawras Alnaasan; Kaushik Kandadi Suresh; Mustafa Abduljabbar; Aamir Shafi; Hari Subramoni; Dhabaleswar K. D. K. Panda (IPDPS, 2024)

Characterizing Communication Patterns in Distributed Large Language Model Inference. - Lang Xu; Kaushik Kandadi Suresh; Quentin Anthony; Nawras Alnaasan; Dhabaleswar K. Panda 001 (CoRR, 2025)